Daily Cryptocurrencies' Prices and Key Indicators
Historical daily market prices and key statistics data for 3000+ cryptocurrencies since 2013
Applications
- Back-testing investment and risk-return hypothesis
- Developing investment strategies based on multiple technical scores
- Competitive cryptocurrency / coin analysis over time
- Digital economy trends analysis
DOCUMENTATION
Daily Cryptocurrencies' Prices and Key Indicators
Overview
This data product feed provides you a complete picture of historical cryptocurrency prices and technical indicators for 3,000+ coins since 2013. Along with the daily open-close-high-low values and times, the data feed includes technical indicators for each coin.
Cryptocurrency is a digital medium of exchange, using strong cryptography to secure financial transactions, control the creation of additional units, and verify the transfer of assets.
Data Coverage
- Download the full list of cryptocurrencies in this data product
- Here are top 10 (*) cryptocurrency with start dates of histories:
( * as of 20.08.2020 as per coinmarketcap.com )
| Rank | Coin Name | Start Date |
|---|---|---|
| 1 | Bitcoin | 24 April 2013 |
| 2 | Ethereum | 7 August 2015 |
| 3 | XRP | 4 August 2013 |
| 4 | Tether | 25 February 2015 |
| 5 | Chainlink | 20 September 2017 |
| 6 | Bitcoin Cash | 23 July 2017 |
| 7 | Litecoin | 29 April 2013 |
| 8 | Bitcoin SV | 9 November 2018 |
| 9 | Cardano | 1 October 2017 |
| 10 | Binance Coin | 25 July 2017 |
- Technical indicators that will help comparing and back-testing the performance of each cryptocurrencies:
- Daily Open, Low, High, Close Prices
- Previous Day's Close Price, Change
- Lowest, Highest (52w)
- Returns (1d, 3m, 1y)
- Previous and Forward Changes (4w, 8w, 12w)
- Average Prices (10d, 50d, 200d)
- Price Deviation, Standard Deviation (50d)
- Bollinger Index (lower, higher band)
Bollinger Band Definition:
A Bollinger Band is a technical analysis tool defined by a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of a security's price, but which can be adjusted to user preferences. They were developed and copyrighted by famous technical trader John Bollinger, designed to discover opportunities that give investors a higher probability of properly identifying when an asset is oversold or overbought.
- There are three lines that compose Bollinger Bands: A simple moving average (middle band) and an upper and lower band
- The upper and lower bands are typically 2 standard deviations +/- from a 20-day simple moving average, but can be modified
Data Collection Methodology
- Data is cleansed and organized to provide a ready for analysis dataset
- Both historical and current prices and technical indicators of 3,000+ Cryptocurrencies are aggregated
- Data updates from CoinMarketCap and various major cryptocurrency open sources
Key Features
- Updated daily, historical data available since 2013
- 3,000 Cryptocurrency Coverage
- Daily open-close-high-low values
- Derived key statistics, such as: Returns, Average Prices (10d, 50d, 200d), Bollinger Index
Data Provider
Alta Bering
Until a few decades ago majority of us were employed in real world businesses. Alta Bering came out of a history of production technology and reconciled it with sophisticated algorithmic math, an after-thought in enterprise system functionality.We believe efficiency is key to mitigating scarcity economics. In the early 2000s, we set our sights on helping companies achieve higher efficiency and growth, not just growth.Today we enable advanced prescriptive analytics for data scientists and enterprise cloud platforms. Our goal is to help business analysts step up to corporate responsibility.Contact us for more about how we deliver our predictive analytics consulting to large and medium sized clients.
DATA DICTIONARY
31 Data Columns
Quote Date (quote_date)
The trade date of the price observations
Coin Name (coin_name)
Name of the cryptocurrency
Low Time (low_time)
The time that the cryptocurrency reaches to the lowest price for the given date
High Time (high_time)
The time that the cryptocurrency reaches to the highest price for the given date
Day Low (low)
Day low is the lowest price at which a stock trades over the course of the quote_date. Low is lower than or equal to all other price quotes for a given quote_date.
Day High (high)
Day high is the highest price at which a stock trades over the course of the quote_date. High is higher than or equal to all other price quotes for a given quote_date.
Day Open (open)
Open price at which a cryptocurrency first trades upon opening of the exchange on a quote_date
Day Close (close)
The price per share for the last trade on the quote_date during regular market hours
52 Weeks High Price (high_price_52w)
A 52-week high is the highest price at which a stock has traded during the previous year
52 Weeks Low Price (low_price_52w)
A 52-week low is the lowest price at which a stock has traded during the previous year
Previous Day Close (prev_close_1d)
1 day price change of the cryptocurrency
One Day Change (change_1d)
The difference in price from the previous day's close
1 Day Return (return_1d)
Percent change of a cryptocurrency's close price from the previous day's close
3 Months Return (return_3m)
Percent change of a cryptocurrency's close price in the last three months
1 Year Return (return_1y)
Percent change of a cryptocurrency's close price in the last year
4 Weeks Change - Previous (prev_change_4w)
Price change of the cryptocurrency compared to the values of 4 weeks ago
8 Weeks Change - Previous (prev_change_8w)
Price change of the cryptocurrency compared to the values of 8 weeks ago
12 Weeks Change - Previous (prev_change_12w)
Price change of the cryptocurrency compared to the values of 12 weeks ago
4 Weeks Change - Forward (frwd_change_4w)
Price change of the cryptocurrency compared to the values of 4 weeks later
8 Weeks Change - Forward (frwd_change_8w)
Price change of the cryptocurrency compared to the values of 8 weeks later
12 Weeks Change - Forward (frwd_change_12w)
Price change of the cryptocurrency compared to the values of 12 weeks later
10 Days Average Price (avg_price_10d)
Moving Average of close price over the past 10 trading days
50 Days Average Price (avg_price_50d)
Moving Average of close price over the past 50 trading days
200 Days Average Price (avg_price_200d)
The average closing price for the past 200 trading days (~ three quarters)
Standard Deviation 50 Days (stddev_50d)
Standard deviation of close price over the past 50 trading days
Price Deviation (price_deviation)
Ratio of close price to 50 day moving average price
Bollinger Upper Band (bollinger_upper_band)
50 day moving average plus two standard deviations of closing price
Bollinger Lower Band (bollinger_lower_band)
50 day moving average minus two standard deviations of closing price
Bollinger Index (bollinger_index)
It indicates the position of Closing Price relative to Bollinger Bands. Bollinger Bands is plotted at 2 standard deviations around a 50-Day simple moving average of the stock price.
Bollinger Index is close to 1, when closing price is close to the higher band, it is close to 0 when the closing price is close to the lower band.
Update Time (update_time)
Indicates the update time for any changes on the data record
Last Update Time (last_update_time)
Date-time value when the record was last updated
